Overview

Dataset statistics

Number of variables22
Number of observations39607
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 MiB
Average record size in memory176.0 B

Variable types

Numeric22

Alerts

X_52 is highly correlated with X_55High correlation
X_55 is highly correlated with X_52High correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 4 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_06 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_07 is highly correlated with Y_04 and 4 other fieldsHigh correlation
Y_08 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_09 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_10 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_12 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_13 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_14 is highly correlated with Y_05 and 7 other fieldsHigh correlation
X_50 is highly correlated with X_53High correlation
X_52 is highly correlated with X_55High correlation
X_53 is highly correlated with X_50 and 1 other fieldsHigh correlation
X_54 is highly correlated with X_53High correlation
X_55 is highly correlated with X_52High correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 8 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_06 is highly correlated with Y_10High correlation
Y_07 is highly correlated with Y_04 and 2 other fieldsHigh correlation
Y_08 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_09 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_10 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_12 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_13 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_14 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05High correlation
Y_05 is highly correlated with Y_04High correlation
Y_06 is highly correlated with Y_08 and 6 other fieldsHigh correlation
Y_08 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_09 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_10 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_11 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_12 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_13 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_14 is highly correlated with Y_06 and 6 other fieldsHigh correlation
X_50 is highly correlated with X_51 and 5 other fieldsHigh correlation
X_51 is highly correlated with X_50 and 5 other fieldsHigh correlation
X_52 is highly correlated with X_50 and 5 other fieldsHigh correlation
X_53 is highly correlated with X_50 and 5 other fieldsHigh correlation
X_54 is highly correlated with X_50 and 5 other fieldsHigh correlation
X_55 is highly correlated with X_50 and 5 other fieldsHigh correlation
X_56 is highly correlated with X_50 and 5 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 4 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_06 is highly correlated with Y_01 and 8 other fieldsHigh correlation
Y_07 is highly correlated with Y_01 and 4 other fieldsHigh correlation
Y_08 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_09 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_10 is highly correlated with Y_01 and 10 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_12 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_13 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_14 is highly correlated with Y_04 and 8 other fieldsHigh correlation

Reproduction

Analysis started2022-08-06 10:08:47.090499
Analysis finished2022-08-06 10:09:59.183070
Duration1 minute and 12.09 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

X_49
Real number (ℝ≥0)

Distinct34091
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16676.91364
Minimum3341.83
Maximum114563.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:09:59.286730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3341.83
5-th percentile10058.85
Q113093.93
median15273.33
Q317560.18
95-th percentile27594.58
Maximum114563.63
Range111221.8
Interquartile range (IQR)4466.25

Descriptive statistics

Standard deviation8584.42742
Coefficient of variation (CV)0.514749168
Kurtosis51.35132347
Mean16676.91364
Median Absolute Deviation (MAD)2236
Skewness6.00937188
Sum660522518.5
Variance73692394.12
MonotonicityNot monotonic
2022-08-06T19:09:59.442968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17076.535
 
< 0.1%
15962.635
 
< 0.1%
16085.235
 
< 0.1%
17054.235
 
< 0.1%
13219.734
 
< 0.1%
15122.334
 
< 0.1%
15115.234
 
< 0.1%
15918.434
 
< 0.1%
15311.634
 
< 0.1%
15091.634
 
< 0.1%
Other values (34081)39563
99.9%
ValueCountFrequency (%)
3341.831
< 0.1%
3382.631
< 0.1%
3679.531
< 0.1%
3710.631
< 0.1%
3750.131
< 0.1%
3756.531
< 0.1%
3763.831
< 0.1%
3782.631
< 0.1%
3783.231
< 0.1%
3845.231
< 0.1%
ValueCountFrequency (%)
114563.631
< 0.1%
114429.131
< 0.1%
114245.831
< 0.1%
114211.131
< 0.1%
114167.331
< 0.1%
114121.731
< 0.1%
114114.031
< 0.1%
114078.931
< 0.1%
114039.031
< 0.1%
113735.631
< 0.1%

X_50
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct39135
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.7745573
Minimum21.8
Maximum162.619458
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:09:59.583567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum21.8
5-th percentile121.6734639
Q1126.948571
median130.723378
Q3134.5389985
95-th percentile140.3499833
Maximum162.619458
Range140.819458
Interquartile range (IQR)7.5904275

Descriptive statistics

Standard deviation5.98984503
Coefficient of variation (CV)0.04580283165
Kurtosis14.82182165
Mean130.7745573
Median Absolute Deviation (MAD)3.79554
Skewness-0.8950712113
Sum5179587.889
Variance35.87824349
MonotonicityNot monotonic
2022-08-06T19:09:59.739778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.84
 
< 0.1%
131.784233
 
< 0.1%
128.1231123
 
< 0.1%
130.0842333
 
< 0.1%
138.0717593
 
< 0.1%
128.9516883
 
< 0.1%
129.4084592
 
< 0.1%
132.524772
 
< 0.1%
135.4379392
 
< 0.1%
130.6200842
 
< 0.1%
Other values (39125)39580
99.9%
ValueCountFrequency (%)
21.84
< 0.1%
43.613081
 
< 0.1%
45.2791051
 
< 0.1%
77.4483351
 
< 0.1%
77.6944631
 
< 0.1%
79.2315571
 
< 0.1%
85.5679411
 
< 0.1%
88.0822191
 
< 0.1%
88.89611
 
< 0.1%
88.9512451
 
< 0.1%
ValueCountFrequency (%)
162.6194581
< 0.1%
160.1664861
< 0.1%
157.9759031
< 0.1%
157.5543331
< 0.1%
156.9022951
< 0.1%
156.2804231
< 0.1%
155.4820531
< 0.1%
155.2614411
< 0.1%
155.1359531
< 0.1%
155.0489171
< 0.1%

X_51
Real number (ℝ≥0)

HIGH CORRELATION

Distinct39110
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.4574177
Minimum21.91
Maximum194.513195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:09:59.897985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum21.91
5-th percentile122.3915796
Q1127.669758
median131.352856
Q3135.170761
95-th percentile140.9747625
Maximum194.513195
Range172.603195
Interquartile range (IQR)7.501003

Descriptive statistics

Standard deviation5.934312895
Coefficient of variation (CV)0.04514247274
Kurtosis12.57655285
Mean131.4574177
Median Absolute Deviation (MAD)3.755799
Skewness-0.7214569382
Sum5206633.943
Variance35.21606953
MonotonicityNot monotonic
2022-08-06T19:10:00.041997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.913
 
< 0.1%
130.4924583
 
< 0.1%
133.0206413
 
< 0.1%
124.4836853
 
< 0.1%
129.3004883
 
< 0.1%
126.521743
 
< 0.1%
130.0888863
 
< 0.1%
130.2910123
 
< 0.1%
132.1690943
 
< 0.1%
129.2209283
 
< 0.1%
Other values (39100)39577
99.9%
ValueCountFrequency (%)
21.913
< 0.1%
46.6119461
 
< 0.1%
60.6864051
 
< 0.1%
80.6075861
 
< 0.1%
81.2303351
 
< 0.1%
82.4350361
 
< 0.1%
83.8285791
 
< 0.1%
84.6944051
 
< 0.1%
85.0368691
 
< 0.1%
85.1193351
 
< 0.1%
ValueCountFrequency (%)
194.5131951
< 0.1%
161.3513911
< 0.1%
160.8129541
< 0.1%
160.5205961
< 0.1%
159.9069181
< 0.1%
159.3774991
< 0.1%
158.7382321
< 0.1%
158.3585471
< 0.1%
157.5832331
< 0.1%
157.3802151
< 0.1%

X_52
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39116
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.5875948
Minimum23.1
Maximum173.438623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:00.198235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum23.1
5-th percentile128.6139956
Q1134.4754005
median138.525575
Q3142.7024475
95-th percentile148.9937995
Maximum173.438623
Range150.338623
Interquartile range (IQR)8.227047

Descriptive statistics

Standard deviation6.469812858
Coefficient of variation (CV)0.04668392483
Kurtosis12.45662567
Mean138.5875948
Median Absolute Deviation (MAD)4.103973
Skewness-0.8196513814
Sum5489038.868
Variance41.85847842
MonotonicityNot monotonic
2022-08-06T19:10:00.354465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134.8282413
 
< 0.1%
23.13
 
< 0.1%
134.4755492
 
< 0.1%
148.1418932
 
< 0.1%
139.0142992
 
< 0.1%
134.7069342
 
< 0.1%
134.2952822
 
< 0.1%
137.284122
 
< 0.1%
147.1368122
 
< 0.1%
143.2218262
 
< 0.1%
Other values (39106)39585
99.9%
ValueCountFrequency (%)
23.13
< 0.1%
39.7987591
 
< 0.1%
43.3634721
 
< 0.1%
72.2350441
 
< 0.1%
75.0843181
 
< 0.1%
77.8965051
 
< 0.1%
81.8734411
 
< 0.1%
84.2783141
 
< 0.1%
84.7991391
 
< 0.1%
86.4141631
 
< 0.1%
ValueCountFrequency (%)
173.4386231
< 0.1%
166.9907321
< 0.1%
166.5897461
< 0.1%
166.1526731
< 0.1%
165.4006591
< 0.1%
165.3783661
< 0.1%
164.2337431
< 0.1%
163.7579441
< 0.1%
163.2030431
< 0.1%
163.0911351
< 0.1%

X_53
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct39098
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.9924198
Minimum21.33
Maximum152.40663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:00.524975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum21.33
5-th percentile119.1363106
Q1124.374525
median128.02001
Q3131.618662
95-th percentile137.0936842
Maximum152.40663
Range131.07663
Interquartile range (IQR)7.244137

Descriptive statistics

Standard deviation5.713153185
Coefficient of variation (CV)0.04463665267
Kurtosis16.09433877
Mean127.9924198
Median Absolute Deviation (MAD)3.624207
Skewness-1.009676695
Sum5069395.77
Variance32.64011932
MonotonicityNot monotonic
2022-08-06T19:10:00.683228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.334
 
< 0.1%
132.9444413
 
< 0.1%
129.7524013
 
< 0.1%
126.1158732
 
< 0.1%
134.0306762
 
< 0.1%
129.3323652
 
< 0.1%
127.6045672
 
< 0.1%
123.034912
 
< 0.1%
128.0790232
 
< 0.1%
124.7512272
 
< 0.1%
Other values (39088)39583
99.9%
ValueCountFrequency (%)
21.334
< 0.1%
31.3830241
 
< 0.1%
76.2932421
 
< 0.1%
77.1352411
 
< 0.1%
77.6089381
 
< 0.1%
78.5900291
 
< 0.1%
81.3052311
 
< 0.1%
81.6262041
 
< 0.1%
81.7674771
 
< 0.1%
82.7001481
 
< 0.1%
ValueCountFrequency (%)
152.406631
< 0.1%
151.5028361
< 0.1%
151.4672681
< 0.1%
151.2841171
< 0.1%
150.8617991
< 0.1%
150.8608231
< 0.1%
150.8579691
< 0.1%
149.8037551
< 0.1%
148.7178941
< 0.1%
148.7026581
< 0.1%

X_54
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct39013
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.0141095
Minimum21.34
Maximum175.052891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:00.829634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum21.34
5-th percentile119.5883045
Q1124.6978795
median128.098728
Q3131.487423
95-th percentile136.4127308
Maximum175.052891
Range153.712891
Interquartile range (IQR)6.7895435

Descriptive statistics

Standard deviation5.43395759
Coefficient of variation (CV)0.04244811458
Kurtosis24.63058606
Mean128.0141095
Median Absolute Deviation (MAD)3.397163
Skewness-1.543207246
Sum5070254.836
Variance29.52789508
MonotonicityNot monotonic
2022-08-06T19:10:00.995592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.345
 
< 0.1%
127.3578383
 
< 0.1%
128.7660943
 
< 0.1%
123.4874993
 
< 0.1%
124.9588813
 
< 0.1%
128.69733
 
< 0.1%
126.8436163
 
< 0.1%
131.8386342
 
< 0.1%
127.5559652
 
< 0.1%
131.8705792
 
< 0.1%
Other values (39003)39578
99.9%
ValueCountFrequency (%)
21.345
< 0.1%
33.6931791
 
< 0.1%
58.7929191
 
< 0.1%
64.2940981
 
< 0.1%
66.7970771
 
< 0.1%
76.0733911
 
< 0.1%
77.9600711
 
< 0.1%
79.0489421
 
< 0.1%
79.2417981
 
< 0.1%
79.4780921
 
< 0.1%
ValueCountFrequency (%)
175.0528911
< 0.1%
152.3975561
< 0.1%
149.9413951
< 0.1%
149.2508431
< 0.1%
149.0012851
< 0.1%
148.9697911
< 0.1%
148.5554691
< 0.1%
148.1158641
< 0.1%
147.45751
< 0.1%
147.4552421
< 0.1%

X_55
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct39172
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.8847109
Minimum22.98
Maximum170.15598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:01.156166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum22.98
5-th percentile127.7718915
Q1133.744103
median137.900952
Q3142.0731015
95-th percentile148.2765081
Maximum170.15598
Range147.17598
Interquartile range (IQR)8.3289985

Descriptive statistics

Standard deviation6.552101309
Coefficient of variation (CV)0.04751869343
Kurtosis15.27378703
Mean137.8847109
Median Absolute Deviation (MAD)4.164238
Skewness-1.088318918
Sum5461199.746
Variance42.93003156
MonotonicityNot monotonic
2022-08-06T19:10:01.307687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.984
 
< 0.1%
132.3032423
 
< 0.1%
133.9370852
 
< 0.1%
137.2794842
 
< 0.1%
136.6276062
 
< 0.1%
133.619742
 
< 0.1%
139.3931392
 
< 0.1%
143.5803342
 
< 0.1%
134.3266422
 
< 0.1%
137.9544872
 
< 0.1%
Other values (39162)39584
99.9%
ValueCountFrequency (%)
22.984
< 0.1%
36.3072041
 
< 0.1%
57.5918161
 
< 0.1%
62.6280871
 
< 0.1%
66.4231041
 
< 0.1%
69.1338931
 
< 0.1%
72.5671161
 
< 0.1%
73.349771
 
< 0.1%
73.5759321
 
< 0.1%
73.9203151
 
< 0.1%
ValueCountFrequency (%)
170.155981
< 0.1%
168.6486861
< 0.1%
167.4808091
< 0.1%
167.0197191
< 0.1%
165.6956981
< 0.1%
165.4792071
< 0.1%
162.2059981
< 0.1%
162.1864971
< 0.1%
162.0823411
< 0.1%
161.9108931
< 0.1%

X_56
Real number (ℝ≥0)

HIGH CORRELATION

Distinct39065
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.441119
Minimum21.41
Maximum155.277538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:01.468277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum21.41
5-th percentile120.4589002
Q1125.1347125
median128.414501
Q3131.839764
95-th percentile136.8581891
Maximum155.277538
Range133.867538
Interquartile range (IQR)6.7050515

Descriptive statistics

Standard deviation5.444245499
Coefficient of variation (CV)0.04238709179
Kurtosis28.20174667
Mean128.441119
Median Absolute Deviation (MAD)3.3489
Skewness-1.769947304
Sum5087167.399
Variance29.63980906
MonotonicityNot monotonic
2022-08-06T19:10:01.631309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.416
 
< 0.1%
126.3731123
 
< 0.1%
129.6257973
 
< 0.1%
128.8300133
 
< 0.1%
126.3886072
 
< 0.1%
124.3900032
 
< 0.1%
126.2393382
 
< 0.1%
121.9252362
 
< 0.1%
129.5162092
 
< 0.1%
123.4032482
 
< 0.1%
Other values (39055)39580
99.9%
ValueCountFrequency (%)
21.416
< 0.1%
59.0461431
 
< 0.1%
66.3568771
 
< 0.1%
68.9669081
 
< 0.1%
69.5505531
 
< 0.1%
69.7480241
 
< 0.1%
71.2704621
 
< 0.1%
73.2873081
 
< 0.1%
73.9156721
 
< 0.1%
78.2808191
 
< 0.1%
ValueCountFrequency (%)
155.2775381
< 0.1%
152.2459681
< 0.1%
151.405591
< 0.1%
150.7502251
< 0.1%
150.5458641
< 0.1%
150.2418941
< 0.1%
149.9896051
< 0.1%
149.6991391
< 0.1%
149.5731471
< 0.1%
148.8140221
< 0.1%

Y_01
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2249
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.353813796
Minimum0.017
Maximum4.409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:01.796262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.7833
Q11.1275
median1.349
Q31.576
95-th percentile1.931
Maximum4.409
Range4.392
Interquartile range (IQR)0.4485

Descriptive statistics

Standard deviation0.3562231101
Coefficient of variation (CV)0.2631256316
Kurtosis1.210970899
Mean1.353813796
Median Absolute Deviation (MAD)0.224
Skewness0.1502434869
Sum53620.503
Variance0.1268949041
MonotonicityNot monotonic
2022-08-06T19:10:01.947456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.37664
 
0.2%
1.31262
 
0.2%
1.33360
 
0.2%
1.4260
 
0.2%
1.38960
 
0.2%
1.27860
 
0.2%
1.360
 
0.2%
1.30859
 
0.1%
1.458
 
0.1%
1.26358
 
0.1%
Other values (2239)39006
98.5%
ValueCountFrequency (%)
0.0171
 
< 0.1%
0.0181
 
< 0.1%
0.0192
< 0.1%
0.023
< 0.1%
0.0212
< 0.1%
0.0252
< 0.1%
0.0262
< 0.1%
0.0271
 
< 0.1%
0.0281
 
< 0.1%
0.0351
 
< 0.1%
ValueCountFrequency (%)
4.4091
< 0.1%
4.0811
< 0.1%
3.791
< 0.1%
3.721
< 0.1%
3.5291
< 0.1%
3.5181
< 0.1%
3.5011
< 0.1%
3.4991
< 0.1%
3.4191
< 0.1%
3.3641
< 0.1%

Y_02
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2227
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.057267251
Minimum0.007
Maximum3.998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:02.093065image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.45
Q10.793
median1.044
Q31.3
95-th percentile1.711
Maximum3.998
Range3.991
Interquartile range (IQR)0.507

Descriptive statistics

Standard deviation0.386265985
Coefficient of variation (CV)0.3653437527
Kurtosis0.6736418075
Mean1.057267251
Median Absolute Deviation (MAD)0.254
Skewness0.3657652688
Sum41875.184
Variance0.1492014112
MonotonicityNot monotonic
2022-08-06T19:10:02.240524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.07259
 
0.1%
0.81459
 
0.1%
1.1258
 
0.1%
1.04357
 
0.1%
0.92456
 
0.1%
0.88856
 
0.1%
1.03155
 
0.1%
1.14455
 
0.1%
0.90255
 
0.1%
0.83454
 
0.1%
Other values (2217)39043
98.6%
ValueCountFrequency (%)
0.0072
 
< 0.1%
0.0084
< 0.1%
0.0093
< 0.1%
0.014
< 0.1%
0.0113
< 0.1%
0.0123
< 0.1%
0.0135
< 0.1%
0.0142
 
< 0.1%
0.0157
< 0.1%
0.0166
< 0.1%
ValueCountFrequency (%)
3.9981
< 0.1%
3.971
< 0.1%
3.721
< 0.1%
3.5521
< 0.1%
3.2881
< 0.1%
3.2561
< 0.1%
3.2281
< 0.1%
3.1421
< 0.1%
3.1151
< 0.1%
3.0491
< 0.1%

Y_03
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2127
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.014001717
Minimum0.017
Maximum3.756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:02.412361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.451
Q10.769
median0.998
Q31.239
95-th percentile1.628
Maximum3.756
Range3.739
Interquartile range (IQR)0.47

Descriptive statistics

Standard deviation0.3614919509
Coefficient of variation (CV)0.3565003341
Kurtosis0.7764764849
Mean1.014001717
Median Absolute Deviation (MAD)0.235
Skewness0.396399124
Sum40161.566
Variance0.1306764305
MonotonicityNot monotonic
2022-08-06T19:10:02.568575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.88866
 
0.2%
0.98863
 
0.2%
0.97362
 
0.2%
0.97161
 
0.2%
0.96561
 
0.2%
1.10460
 
0.2%
0.86960
 
0.2%
0.99959
 
0.1%
0.90657
 
0.1%
0.84657
 
0.1%
Other values (2117)39001
98.5%
ValueCountFrequency (%)
0.0171
 
< 0.1%
0.0191
 
< 0.1%
0.0214
< 0.1%
0.0221
 
< 0.1%
0.0242
< 0.1%
0.0252
< 0.1%
0.0272
< 0.1%
0.0293
< 0.1%
0.032
< 0.1%
0.0311
 
< 0.1%
ValueCountFrequency (%)
3.7561
< 0.1%
3.7131
< 0.1%
3.2841
< 0.1%
3.2131
< 0.1%
3.1981
< 0.1%
3.1821
< 0.1%
3.1021
< 0.1%
3.0991
< 0.1%
3.0691
< 0.1%
3.0281
< 0.1%

Y_04
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10773
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.62119133
Minimum-0.331
Maximum98.794
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size309.6 KiB
2022-08-06T19:10:02.724785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.331
5-th percentile8.9393
Q111.822
median13.837
Q315.626
95-th percentile17.5587
Maximum98.794
Range99.125
Interquartile range (IQR)3.804

Descriptive statistics

Standard deviation2.686631665
Coefficient of variation (CV)0.1972391107
Kurtosis25.18483477
Mean13.62119133
Median Absolute Deviation (MAD)1.887
Skewness0.4534505598
Sum539494.525
Variance7.217989702
MonotonicityNot monotonic
2022-08-06T19:10:02.868318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.85215
 
< 0.1%
14.24314
 
< 0.1%
13.34914
 
< 0.1%
15.70713
 
< 0.1%
15.46113
 
< 0.1%
13.8913
 
< 0.1%
14.40913
 
< 0.1%
14.77413
 
< 0.1%
15.06313
 
< 0.1%
15.43613
 
< 0.1%
Other values (10763)39473
99.7%
ValueCountFrequency (%)
-0.3311
< 0.1%
-0.3271
< 0.1%
-0.3081
< 0.1%
2.2421
< 0.1%
3.3121
< 0.1%
3.4471
< 0.1%
3.4781
< 0.1%
3.8331
< 0.1%
3.8471
< 0.1%
3.9241
< 0.1%
ValueCountFrequency (%)
98.7941
< 0.1%
33.3331
< 0.1%
25.9561
< 0.1%
21.4621
< 0.1%
21.4421
< 0.1%
20.891
< 0.1%
20.4761
< 0.1%
20.3211
< 0.1%
20.2091
< 0.1%
20.2041
< 0.1%

Y_05
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10241
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.29046706
Minimum18.589
Maximum37.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:03.024531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum18.589
5-th percentile26.512
Q129.768
median31.71
Q333.184
95-th percentile34.709
Maximum37.25
Range18.661
Interquartile range (IQR)3.416

Descriptive statistics

Standard deviation2.543221628
Coefficient of variation (CV)0.08127784168
Kurtosis0.489914823
Mean31.29046706
Median Absolute Deviation (MAD)1.658
Skewness-0.7720326285
Sum1239321.529
Variance6.467976249
MonotonicityNot monotonic
2022-08-06T19:10:03.165123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.69218
 
< 0.1%
33.46517
 
< 0.1%
32.49116
 
< 0.1%
31.94915
 
< 0.1%
33.21515
 
< 0.1%
31.71315
 
< 0.1%
32.65915
 
< 0.1%
32.59315
 
< 0.1%
32.715
 
< 0.1%
32.79615
 
< 0.1%
Other values (10231)39451
99.6%
ValueCountFrequency (%)
18.5891
< 0.1%
19.3951
< 0.1%
19.7041
< 0.1%
20.0621
< 0.1%
20.0672
< 0.1%
20.1231
< 0.1%
20.1891
< 0.1%
20.241
< 0.1%
20.4171
< 0.1%
20.4621
< 0.1%
ValueCountFrequency (%)
37.251
< 0.1%
37.2251
< 0.1%
37.1012
< 0.1%
36.9951
< 0.1%
36.9791
< 0.1%
36.9151
< 0.1%
36.8681
< 0.1%
36.8371
< 0.1%
36.8081
< 0.1%
36.8061
< 0.1%

Y_06
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4269
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.52938208
Minimum-19.963
Maximum18.998
Zeros0
Zeros (%)0.0%
Negative99
Negative (%)0.2%
Memory size309.6 KiB
2022-08-06T19:10:03.338410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-19.963
5-th percentile15.177
Q116.146
median16.694
Q317.164
95-th percentile17.758
Maximum18.998
Range38.961
Interquartile range (IQR)1.018

Descriptive statistics

Standard deviation1.89301384
Coefficient of variation (CV)0.1145241747
Kurtosis270.339787
Mean16.52938208
Median Absolute Deviation (MAD)0.501
Skewness-15.02970347
Sum654679.236
Variance3.583501399
MonotonicityNot monotonic
2022-08-06T19:10:03.479028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.78238
 
0.1%
16.87236
 
0.1%
17.09933
 
0.1%
16.85932
 
0.1%
17.13832
 
0.1%
16.96732
 
0.1%
16.7232
 
0.1%
16.84731
 
0.1%
16.7631
 
0.1%
16.47531
 
0.1%
Other values (4259)39279
99.2%
ValueCountFrequency (%)
-19.9631
< 0.1%
-19.6021
< 0.1%
-19.5171
< 0.1%
-19.4721
< 0.1%
-19.4431
< 0.1%
-19.3671
< 0.1%
-19.3511
< 0.1%
-19.2521
< 0.1%
-19.232
< 0.1%
-19.0991
< 0.1%
ValueCountFrequency (%)
18.9981
< 0.1%
18.9921
< 0.1%
18.8881
< 0.1%
18.8571
< 0.1%
18.8241
< 0.1%
18.7861
< 0.1%
18.7531
< 0.1%
18.7281
< 0.1%
18.6921
< 0.1%
18.6851
< 0.1%

Y_07
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2394
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.155054107
Minimum0.502
Maximum5.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:03.650865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.502
5-th percentile2.53
Q12.863
median3.126
Q33.4335
95-th percentile3.864
Maximum5.299
Range4.797
Interquartile range (IQR)0.5705

Descriptive statistics

Standard deviation0.4189399013
Coefficient of variation (CV)0.1327837454
Kurtosis0.7671083874
Mean3.155054107
Median Absolute Deviation (MAD)0.283
Skewness0.08450194006
Sum124962.228
Variance0.1755106409
MonotonicityNot monotonic
2022-08-06T19:10:03.791457image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.00557
 
0.1%
2.9456
 
0.1%
3.13653
 
0.1%
2.98852
 
0.1%
3.12852
 
0.1%
3.03351
 
0.1%
3.27251
 
0.1%
2.97651
 
0.1%
3.0351
 
0.1%
3.0850
 
0.1%
Other values (2384)39083
98.7%
ValueCountFrequency (%)
0.5021
< 0.1%
0.6851
< 0.1%
0.7231
< 0.1%
0.8181
< 0.1%
0.8791
< 0.1%
0.9111
< 0.1%
0.9211
< 0.1%
0.9331
< 0.1%
0.9451
< 0.1%
0.9531
< 0.1%
ValueCountFrequency (%)
5.2991
< 0.1%
5.1181
< 0.1%
4.9991
< 0.1%
4.9911
< 0.1%
4.9821
< 0.1%
4.9271
< 0.1%
4.9181
< 0.1%
4.911
< 0.1%
4.8681
< 0.1%
4.851
< 0.1%

Y_08
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3672
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.29483879
Minimum-29.652
Maximum-23.785
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:10:03.949580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.652
5-th percentile-27.4447
Q1-26.689
median-26.254
Q3-25.855
95-th percentile-25.283
Maximum-23.785
Range5.867
Interquartile range (IQR)0.834

Descriptive statistics

Standard deviation0.6605368289
Coefficient of variation (CV)-0.0251203985
Kurtosis0.7493218708
Mean-26.29483879
Median Absolute Deviation (MAD)0.415
Skewness-0.4373902743
Sum-1041459.68
Variance0.4363089024
MonotonicityNot monotonic
2022-08-06T19:10:04.090172image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.31441
 
0.1%
-26.09140
 
0.1%
-25.83840
 
0.1%
-26.43139
 
0.1%
-26.43539
 
0.1%
-26.0939
 
0.1%
-26.08138
 
0.1%
-26.37238
 
0.1%
-26.04537
 
0.1%
-26.12236
 
0.1%
Other values (3662)39220
99.0%
ValueCountFrequency (%)
-29.6521
< 0.1%
-29.6421
< 0.1%
-29.6051
< 0.1%
-29.5781
< 0.1%
-29.4521
< 0.1%
-29.3521
< 0.1%
-29.331
< 0.1%
-29.3241
< 0.1%
-29.3092
< 0.1%
-29.3061
< 0.1%
ValueCountFrequency (%)
-23.7851
< 0.1%
-24.0131
< 0.1%
-24.1171
< 0.1%
-24.1421
< 0.1%
-24.1581
< 0.1%
-24.1621
< 0.1%
-24.181
< 0.1%
-24.191
< 0.1%
-24.2071
< 0.1%
-24.2111
< 0.1%

Y_09
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3649
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.30862254
Minimum-29.523
Maximum-23.96
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:10:04.246388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.523
5-th percentile-27.44
Q1-26.702
median-26.266
Q3-25.871
95-th percentile-25.311
Maximum-23.96
Range5.563
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6535798156
Coefficient of variation (CV)-0.02484279877
Kurtosis0.7264309573
Mean-26.30862254
Median Absolute Deviation (MAD)0.414
Skewness-0.4318247115
Sum-1042005.613
Variance0.4271665753
MonotonicityNot monotonic
2022-08-06T19:10:04.386975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.3143
 
0.1%
-26.22841
 
0.1%
-26.2838
 
0.1%
-26.10638
 
0.1%
-26.26537
 
0.1%
-26.12337
 
0.1%
-26.0437
 
0.1%
-26.37537
 
0.1%
-26.1137
 
0.1%
-26.33136
 
0.1%
Other values (3639)39226
99.0%
ValueCountFrequency (%)
-29.5231
< 0.1%
-29.4771
< 0.1%
-29.471
< 0.1%
-29.4271
< 0.1%
-29.3921
< 0.1%
-29.3761
< 0.1%
-29.3511
< 0.1%
-29.3391
< 0.1%
-29.3381
< 0.1%
-29.3311
< 0.1%
ValueCountFrequency (%)
-23.961
< 0.1%
-23.9851
< 0.1%
-24.0911
< 0.1%
-24.1041
< 0.1%
-24.1551
< 0.1%
-24.161
< 0.1%
-24.1891
< 0.1%
-24.2191
< 0.1%
-24.2421
< 0.1%
-24.2761
< 0.1%

Y_10
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4458
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-22.40006244
Minimum-31.119
Maximum-20.052
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:10:04.543191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-31.119
5-th percentile-23.9517
Q1-22.871
median-22.275
Q3-21.791
95-th percentile-21.195
Maximum-20.052
Range11.067
Interquartile range (IQR)1.08

Descriptive statistics

Standard deviation0.920952195
Coefficient of variation (CV)-0.04111382268
Kurtosis10.34745855
Mean-22.40006244
Median Absolute Deviation (MAD)0.529
Skewness-1.837054602
Sum-887199.273
Variance0.8481529455
MonotonicityNot monotonic
2022-08-06T19:10:04.683782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-22.01433
 
0.1%
-21.99533
 
0.1%
-21.91932
 
0.1%
-22.09632
 
0.1%
-22.32732
 
0.1%
-22.17631
 
0.1%
-22.09231
 
0.1%
-22.32931
 
0.1%
-22.06531
 
0.1%
-21.78630
 
0.1%
Other values (4448)39291
99.2%
ValueCountFrequency (%)
-31.1191
< 0.1%
-30.9491
< 0.1%
-30.9261
< 0.1%
-30.7881
< 0.1%
-30.6191
< 0.1%
-30.5871
< 0.1%
-30.5841
< 0.1%
-30.5481
< 0.1%
-30.5371
< 0.1%
-30.5071
< 0.1%
ValueCountFrequency (%)
-20.0521
 
< 0.1%
-20.0931
 
< 0.1%
-20.131
 
< 0.1%
-20.1471
 
< 0.1%
-20.2241
 
< 0.1%
-20.2351
 
< 0.1%
-20.2721
 
< 0.1%
-20.2883
< 0.1%
-20.311
 
< 0.1%
-20.3311
 
< 0.1%

Y_11
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4309
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.32506113
Minimum19.844
Maximum26.703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:10:04.839996image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum19.844
5-th percentile22.815
Q123.836
median24.42
Q324.9115
95-th percentile25.514
Maximum26.703
Range6.859
Interquartile range (IQR)1.0755

Descriptive statistics

Standard deviation0.8301968024
Coefficient of variation (CV)0.03412927919
Kurtosis0.7579205164
Mean24.32506113
Median Absolute Deviation (MAD)0.532
Skewness-0.6749349242
Sum963442.696
Variance0.6892267307
MonotonicityNot monotonic
2022-08-06T19:10:04.982620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.73734
 
0.1%
24.77634
 
0.1%
24.49633
 
0.1%
24.5832
 
0.1%
24.54232
 
0.1%
24.40932
 
0.1%
24.64432
 
0.1%
24.50931
 
0.1%
24.74131
 
0.1%
24.58831
 
0.1%
Other values (4299)39285
99.2%
ValueCountFrequency (%)
19.8441
< 0.1%
20.0311
< 0.1%
20.0451
< 0.1%
20.1011
< 0.1%
20.1751
< 0.1%
20.1941
< 0.1%
20.1991
< 0.1%
20.2951
< 0.1%
20.2981
< 0.1%
20.3341
< 0.1%
ValueCountFrequency (%)
26.7031
< 0.1%
26.6591
< 0.1%
26.6571
< 0.1%
26.5921
< 0.1%
26.5791
< 0.1%
26.5671
< 0.1%
26.5511
< 0.1%
26.5451
< 0.1%
26.4831
< 0.1%
26.481
< 0.1%

Y_12
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3673
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.23776173
Minimum-29.544
Maximum-23.722
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:10:05.154456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.544
5-th percentile-27.38
Q1-26.63
median-26.198
Q3-25.799
95-th percentile-25.238
Maximum-23.722
Range5.822
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6563285123
Coefficient of variation (CV)-0.02501465327
Kurtosis0.7459825
Mean-26.23776173
Median Absolute Deviation (MAD)0.413
Skewness-0.4446574078
Sum-1039199.029
Variance0.430767116
MonotonicityNot monotonic
2022-08-06T19:10:05.295047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.02649
 
0.1%
-26.1741
 
0.1%
-26.07640
 
0.1%
-26.35839
 
0.1%
-26.11839
 
0.1%
-26.4438
 
0.1%
-26.29238
 
0.1%
-25.99837
 
0.1%
-25.91937
 
0.1%
-26.35437
 
0.1%
Other values (3663)39212
99.0%
ValueCountFrequency (%)
-29.5441
< 0.1%
-29.4531
< 0.1%
-29.4411
< 0.1%
-29.3671
< 0.1%
-29.3461
< 0.1%
-29.3411
< 0.1%
-29.3351
< 0.1%
-29.311
< 0.1%
-29.2871
< 0.1%
-29.2831
< 0.1%
ValueCountFrequency (%)
-23.7221
< 0.1%
-23.9471
< 0.1%
-23.951
< 0.1%
-24.0671
< 0.1%
-24.1511
< 0.1%
-24.161
< 0.1%
-24.2211
< 0.1%
-24.2281
< 0.1%
-24.2311
< 0.1%
-24.241
< 0.1%

Y_13
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3665
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.23386934
Minimum-29.448
Maximum-23.899
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:10:05.451262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.448
5-th percentile-27.366
Q1-26.624
median-26.193
Q3-25.794
95-th percentile-25.2393
Maximum-23.899
Range5.549
Interquartile range (IQR)0.83

Descriptive statistics

Standard deviation0.6550900257
Coefficient of variation (CV)-0.02497115531
Kurtosis0.7518019689
Mean-26.23386934
Median Absolute Deviation (MAD)0.413
Skewness-0.4398630698
Sum-1039044.863
Variance0.4291429417
MonotonicityNot monotonic
2022-08-06T19:10:06.203027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.09742
 
0.1%
-26.18741
 
0.1%
-26.33641
 
0.1%
-26.2840
 
0.1%
-26.15139
 
0.1%
-26.34638
 
0.1%
-26.03938
 
0.1%
-25.96837
 
0.1%
-26.21336
 
0.1%
-25.99536
 
0.1%
Other values (3655)39219
99.0%
ValueCountFrequency (%)
-29.4481
< 0.1%
-29.4431
< 0.1%
-29.3751
< 0.1%
-29.3681
< 0.1%
-29.3551
< 0.1%
-29.351
< 0.1%
-29.3011
< 0.1%
-29.2921
< 0.1%
-29.2361
< 0.1%
-29.2261
< 0.1%
ValueCountFrequency (%)
-23.8991
< 0.1%
-23.9361
< 0.1%
-23.9651
< 0.1%
-24.0211
< 0.1%
-24.1171
< 0.1%
-24.1231
< 0.1%
-24.1771
< 0.1%
-24.1941
< 0.1%
-24.2051
< 0.1%
-24.211
< 0.1%

Y_14
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3682
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.24586843
Minimum-29.62
Maximum-23.856
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:10:06.343622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.62
5-th percentile-27.3817
Q1-26.64
median-26.204
Q3-25.809
95-th percentile-25.245
Maximum-23.856
Range5.764
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6559887312
Coefficient of variation (CV)-0.02499398078
Kurtosis0.734812393
Mean-26.24586843
Median Absolute Deviation (MAD)0.413
Skewness-0.4307872388
Sum-1039520.111
Variance0.4303212155
MonotonicityNot monotonic
2022-08-06T19:10:06.499831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.30346
 
0.1%
-26.02541
 
0.1%
-26.14839
 
0.1%
-25.85839
 
0.1%
-26.0839
 
0.1%
-26.17438
 
0.1%
-26.10538
 
0.1%
-25.83538
 
0.1%
-26.42437
 
0.1%
-26.06537
 
0.1%
Other values (3672)39215
99.0%
ValueCountFrequency (%)
-29.621
< 0.1%
-29.5291
< 0.1%
-29.4931
< 0.1%
-29.4341
< 0.1%
-29.341
< 0.1%
-29.3351
< 0.1%
-29.3121
< 0.1%
-29.2921
< 0.1%
-29.2821
< 0.1%
-29.281
< 0.1%
ValueCountFrequency (%)
-23.8561
< 0.1%
-24.0521
< 0.1%
-24.1372
< 0.1%
-24.1391
< 0.1%
-24.1651
< 0.1%
-24.1761
< 0.1%
-24.1921
< 0.1%
-24.1931
< 0.1%
-24.2081
< 0.1%
-24.2111
< 0.1%

Interactions

2022-08-06T19:09:55.525258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:51.348708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.323052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.271558image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.223424image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.326249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.255753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.313066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.292649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.576639image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.368360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:22.414515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.428868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.288809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.697008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.749788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.565840image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.497281image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.430601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:46.302793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.763265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.646414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.651905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:51.491908image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.451981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.398210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.351129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.453010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.397722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.440985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.431846image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.706506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.502892image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:22.588071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.555129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.412544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.840760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.877325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.710031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.623935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.561101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:46.443271image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.907041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.787154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.786646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:51.634333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.597226image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.538802image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.493436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.597583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.542343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.586697image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.561721image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.834687image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.645164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:22.731228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.693536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.557940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.983085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.016688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.836652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.766218image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.686072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:46.583255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.033735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.913809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.921133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:51.760921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.732633image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.675471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.634027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.732000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.685636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.730387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.703942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.961332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.784030image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:22.865065image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.822648image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.698043image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.124636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.143876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.979005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.901766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.816235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:46.720265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.177563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.049742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.051030image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:51.907105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.869869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.821655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.779986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.862185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.827886image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.870954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.846243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.104997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.926673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.008089image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.968433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.840411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.270271image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.269790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.121319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.048127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.960376image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:47.348009image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.309018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.190103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.180120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.033628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.005708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.953047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.908607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.001293image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.973246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.005684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.975771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.233031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.070388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.138697image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.092205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.967094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.412671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.408711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.248083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.173097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.089497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:47.484434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.437046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.316709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.323900image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.175893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.145527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.096575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.059328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.143650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.102265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.132927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:14.111665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.363539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.216012image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.282698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.225715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:29.509407image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.554965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.535320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.391752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.316972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.232745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:47.627115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.571078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.445753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.452510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.323939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.283644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.238704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.197389image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.285814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.244543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.280062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:14.247194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.490137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.361521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.420397image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.373863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:29.651759image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.696802image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.663331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.525538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.443625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.353980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:47.753800image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.712282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.589538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.581714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.457603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.410334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.366779image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.339655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.416750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.385086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.408952image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:14.389546image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.630729image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.489291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.548413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.498688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:29.795453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.843136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.808366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.662738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.587090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.497653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:47.904023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.841031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.718483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.707665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.584202image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.530517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.493474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.466314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.541505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.514129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.544383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:14.517134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.743569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.630467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.684058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.617761image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:29.908417image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:32.974011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:35.918910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.790344image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.715926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.608693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.032126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:50.961796image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.843715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.849677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.727423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.681046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.638237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.609999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.686174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.668007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.687962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:14.659433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.870188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.766897image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.826380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.760046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.052338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.114359image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.060892image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:38.926466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.858236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.753946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.170835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.106479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:53.969290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:56.989109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.864095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.807671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.764899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.736623image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.821811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.810288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.814523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.107941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:17.999484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:20.909118image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:23.970130image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:26.886713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.195246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.254735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.191831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.053113image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:41.988338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:44.882944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.299890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.240547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.111668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.106441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:52.990700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:55.943334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:58.893271image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:01.872776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:05.950119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:08.938673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:11.945081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.240013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.126150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.037096image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.092776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.010319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.337593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.381422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.313847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.179882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.116743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.009678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.432640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.364022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.238346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.249171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.136184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.085597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.034910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:02.020210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.076764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.079806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.085673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.383564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.257321image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.179375image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.236534image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.136969image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.483396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.522014image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.438818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.318695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.257660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.147671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.576322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.493028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.367304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.386690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.274391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.227921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.179120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:02.162849image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.220358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.222080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.232728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.510235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.385418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.324790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.377453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.274652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.625764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.666034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.576241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.463067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.400893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.289986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.718644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.635307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.509612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.501418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.394536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.348217image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.305819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:03.382202image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.347008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.357326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.359421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.639166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.500254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.453908image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.504412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.385720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.754661image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.806881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.687217image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.590743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.522726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.401091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.848423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.746203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.618932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.631373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.526282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.474876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.430760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:03.508840image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.474397image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.499601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.490102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.774719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.624216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.580640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.639421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.514773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:30.887326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:33.934623image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.821492image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.717417image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.648084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.528780image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:48.979243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:51.875340image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.750808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.760082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.652871image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.613064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.560728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:03.651170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.604265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.626656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.616753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:15.920180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.746656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.725828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.764392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.642013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.014036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.072654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:36.950222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.844122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.780279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.653753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.104692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.011169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:54.877514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:57.886868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.795074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.741999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.696618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:03.782455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.730915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.768950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.752196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.048404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.873243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.858455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:24.895075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.775005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.157767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.199287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.063821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:39.970752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:42.908713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.788209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.240953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.138081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.000831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:58.027491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:53.923635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:56.875795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.823311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:03.927936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:06.873156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:09.909955image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:12.899127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.176809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:18.999909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:21.997586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.042311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:27.902774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.301434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.339879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.206030image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.109667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.035363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:45.916293image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.386160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.268546image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.144884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:58.156087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.065848image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.010420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:59.963297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.055935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.002398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.042102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.027094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.322496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.124891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:22.126615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.169723image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.030877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.431173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.483769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.323652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.234612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.162007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:46.057384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.514126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.395987image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.272430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:58.265436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:54.195008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:08:57.137046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:00.092817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:04.182619image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:07.129043image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:10.177777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:13.155790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:16.452296image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:19.238768image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:22.273923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:25.304548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:28.159696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:31.570400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:34.626067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:37.451684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:40.364401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:43.294090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:46.187471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:49.640784image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:52.519643image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:09:55.395166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-08-06T19:10:06.656018image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-06T19:10:06.876396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-06T19:10:07.126338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-06T19:10:07.360652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-08-06T19:09:58.497543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-08-06T19:09:58.953322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

X_49X_50X_51X_52X_53X_54X_55X_56Y_01Y_02Y_03Y_04Y_05Y_06Y_07Y_08Y_09Y_10Y_11Y_12Y_13Y_14
09706.03137.043591135.359219147.837968134.313475125.605427136.721425125.0282562.0561.4561.68010.50229.63216.0834.276-25.381-25.529-22.76923.792-25.470-25.409-25.304
110423.43133.736691135.979817149.924692123.630583127.893337143.322659124.8773081.4461.1841.26818.50733.17916.7363.229-26.619-26.523-22.57424.691-26.253-26.497-26.438
210948.53132.805112131.055355146.814592128.939070127.012195140.395688122.2382321.2510.6650.78214.08231.80117.0802.839-26.238-26.216-22.16924.649-26.285-26.215-26.370
315007.03134.138760133.239422139.720132132.260824130.723186147.624829134.8752251.4641.0791.05216.97534.50317.1433.144-25.426-25.079-21.76524.913-25.254-25.021-25.345
411051.03142.728970136.620022134.853555134.760252125.647793139.331105123.2727620.9830.6460.68915.04732.60217.5693.138-25.376-25.242-21.07225.299-25.072-25.195-24.974
59514.23137.649365124.373890145.751970121.860937127.081180139.840405123.9463081.1550.6780.58011.76029.66216.2013.343-26.466-26.527-22.62124.064-26.489-26.536-26.426
611111.83141.235753132.356259138.011690133.733046142.292843132.479969125.1465112.1401.4381.68914.13732.73915.5732.418-27.581-28.038-23.35523.051-27.650-27.709-27.599
711907.13133.099217128.041348134.704309132.670759128.802929138.067112127.5874981.7691.5351.53417.95434.68018.2303.147-24.917-24.832-20.68926.138-24.539-24.538-24.668
812233.03142.350598126.267437149.639627125.485838132.235386138.623082117.7405361.3260.9450.88313.95229.12916.6083.931-25.890-25.801-22.52124.353-25.738-25.825-25.764
912461.23133.556149123.122143141.628915123.268843130.163105131.452740114.1202512.0041.7871.54816.88534.20918.1202.646-25.520-25.408-21.15925.961-25.353-25.567-25.470

Last rows

X_49X_50X_51X_52X_53X_54X_55X_56Y_01Y_02Y_03Y_04Y_05Y_06Y_07Y_08Y_09Y_10Y_11Y_12Y_13Y_14
3959761933.83130.192944131.285206138.202150129.136084129.970180133.089329124.4295691.4891.3691.30315.68734.08917.5863.107-25.927-25.836-21.61125.399-25.850-25.867-25.587
3959861820.13128.443806121.708950136.029749128.027021125.687443145.721791134.5514641.2990.6121.03217.95732.87016.8043.140-26.569-26.304-23.10224.660-26.259-26.410-26.365
3959960355.63121.881017124.793759138.613680119.412733125.072208137.186520127.5346720.9490.8910.76717.70630.87717.0902.547-26.652-26.807-22.18824.737-26.783-26.694-26.771
396009088.83130.619817115.842388142.236215124.657179116.541210130.743496128.0145530.9980.5630.9118.87928.95716.4413.387-26.545-26.572-22.70524.084-26.618-26.677-26.530
3960160707.83128.922673128.715023137.359163125.521040130.121288138.584111121.0008201.5561.4181.32812.59832.67116.9492.996-26.106-26.281-22.35924.661-26.134-26.300-26.306
3960260630.73129.965741130.807148133.481737125.273130121.780933133.780110129.0298121.3821.2151.26310.87429.19416.5823.410-26.486-26.581-22.77224.261-26.491-26.584-26.580
3960360763.43127.633885120.158764142.667802122.465490122.987209143.090741122.8114131.4820.6061.0838.75929.85915.6593.406-27.308-27.203-24.67423.427-27.250-27.334-27.325
396048813.33132.501286136.893025134.419328129.115431130.920147140.489232119.1666991.1171.1540.99313.15924.72016.8233.215-26.502-26.687-22.57724.301-26.388-26.425-26.601
3960562222.33128.189679121.495930141.288011130.141676125.518825136.603634124.5259290.8950.1870.4779.12326.41215.7574.216-26.760-26.634-24.06623.305-26.536-26.751-26.635
3960662172.23135.096272122.988476142.019357123.752157130.648365139.695370136.7145041.1470.3480.85210.42130.74516.7813.307-26.054-26.251-23.25724.450-26.224-26.256-26.093